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Found 1,678 Skills
Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers (Blocking, Required, Suggestions) and specific, actionable recommendations.
Advanced TypeScript patterns for strict mode development. Covers type utilities (Pick, Omit, Partial, Record, Awaited), generics with constraints and inference, type guards and narrowing, discriminated unions, conditional and mapped types, template literal types, const assertions, satisfies operator, module patterns, and modern JavaScript idioms (eslint-plugin-unicorn). Use when building type-safe APIs, preventing runtime errors through types, working with strict TypeScript configuration, debugging complex type errors, or enforcing modern JS idioms. Use for generics, type guards, utility types, strict mode, type inference, narrowing, type safety, const assertions, satisfies, module augmentation, unicorn, for-of, modern-js.
Guidelines for deep learning development with PyTorch, Transformers, Diffusers, and Gradio for LLM and diffusion model work.
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creatio...
Guides idiomatic Lua 5.4 programming, module design, and project maintenance for Neovim plugin/config ecosystems (LazyVim, lazy.nvim) and macOS bar tools (SketchyBar/SbarLua). Covers style, tooling (StyLua, Selene, LuaLS), module patterns, and testing. Use when writing Lua code, configuring Neovim plugins, working with SketchyBar Lua configs, debugging Lua require/module errors, or when the user mentions Lua, .lua files, LazyVim, lazy.nvim, SbarLua, SketchyBar, luarocks, LuaLS, StyLua, or Selene.
Play audio files, use text-to-speech, and record calls. Use when building IVR systems, playing announcements, or recording conversations. This skill provides Python SDK examples.
Play audio files, use text-to-speech, and record calls. Use when building IVR systems, playing announcements, or recording conversations. This skill provides Go SDK examples.
Implement VoIP calling with CallKit and PushKit. Use when building incoming/outgoing call flows, registering for VoIP push notifications, configuring CXProvider and CXCallController, handling call actions, coordinating audio sessions, or creating Call Directory extensions for caller ID and call blocking.
Guide des bonnes pratiques Vue.js 3 couvrant la Composition API, la conception de composants, les patrons de réactivité, le styling utility-first avec Tailwind CSS, l'intégration native de la bibliothèque de composants PrimeVue et l'organisation du code. À utiliser lors de l'écriture, la revue ou le refactoring de code Vue.js pour garantir des patrons idiomatiques et un code maintenable.
GameObject component management. Use when users want to add, remove, or configure components like Rigidbody, Collider, AudioSource. Triggers: component, add component, rigidbody, collider, audio source, script, 组件, 添加组件, 刚体, 碰撞体.
Sendr platform help — AI-powered personalized outreach with lipsync video, dynamic landing pages, lead finder (479M+ contacts), and campaign sequencing. Use when setting up Sendr campaigns, lipsync video audio is out of sync, Sendr credits burning too fast, Lead Finder or Data Studio buttons are greyed out, dynamic pages not rendering for prospects, Sendr API or webhook integration not working, or Sendr Zapier automations failing. Do NOT use for general outbound strategy without a platform (use /sales-cadence), or general deliverability without Sendr (use /sales-deliverability).
CallMiner platform help — enterprise conversation analytics (Eureka) with omnichannel interaction capture, automated QA scoring, agent coaching, real-time alerts, compliance monitoring, and CX automation. Use when QA scoring is inconsistent or takes too long across agents, when needing to analyze 100% of customer interactions instead of sampling, when setting up automated compliance monitoring for regulated industries (healthcare, finance, collections), when CallMiner Coach scorecards aren't surfacing the right coaching moments, when CallMiner RealTime alerts aren't triggering during live calls, when ingesting audio or text into CallMiner via the Ingestion API, when CallMiner Analyze categories aren't matching expected interactions, or when evaluating CallMiner vs Observe.AI or NICE CXone analytics. Do NOT use for CCaaS platform selection (use /sales-ccaas-selection) or for sales-specific coaching strategy (use /sales-coaching).